Genetics of chronic respiratory disease.
Ian Sayers et al. Nat Rev Genet 2024 3 (Posted Mar 07, 2024 8AM)
An ECG-based artificial intelligence model for assessment of sudden cardiac death risk
L Holmstrom et al, Comm Med, February 2024 (Posted Mar 03, 2024 10AM)
Novel Polygenic Risk Score and Established Clinical Risk Factors for Risk Estimation of Aortic Stenosis.
Aeron M Small et al. JAMA Cardiol 2024 2 (Posted Feb 29, 2024 8AM)
A call for increased inclusivity and global representation in pharmacogenetic testing.
April Kennedy et al. NPJ Genom Med 2024 2 (1) 13 (Posted Feb 23, 2024 3PM)
Shanlee M Davis et al. Am J Med Genet C Semin Med Genet 2024 e32083
Deep Learning-Augmented ECG Analysis for Screening and Genotype Prediction of Congenital Long QT Syndrome.
River Jiang et al. JAMA Cardiol 2024
Dental caries in the permanent dentition and health-related quality of life among children and adolescents with sickle cell disease.
Vera Lúcia Duarte da Costa Mendes et al. Cien Saude Colet 2024 29(3) e06752023
Efficacy of Inclisiran in patients having familial hypercholesterolemia: heterozygous compared to homozygous trait, a systematic review and meta analysis.
Rahul Rai et al. Crit Pathw Cardiol 2024
Exploring the Landscape of Familial Hypercholesterolemia: Unraveling Genetic Complexity and Clinical Implications.
Fotios Barkas et al. Eur J Intern Med 2024
Quantitative CT Texture Analysis of COVID-19 Hospitalized Patients during 3-24-Month Follow-Up and Correlation with Functional Parameters.
Fanni Salvatore Claudio, et al. Diagnostics (Basel, Switzerland) 2024 0 0. (5)
Analyzing prehospital delays in recurrent acute ischemic stroke: Insights from interpretable machine learning.
Youli Jiang et al. Patient Educ Couns 2024 123108228
Using machine learning techniques to predict the risk of osteoporosis based on nationwide chronic disease data.
Jun-Bo Tu et al. Sci Rep 2024 14(1) 5245
Using the Super Learner algorithm to predict risk of major adverse cardiovascular events after percutaneous coronary intervention in patients with myocardial infarction.
Xiang Zhu et al. BMC Med Res Methodol 2024 24(1) 59
Clinical characteristics of 4,520 paediatric patients infected with the SARS-CoV-2 omicron variant, in Xi'an, China.
Yue Jingwei, et al. Frontiers in pediatrics 2024 0 0. 1325562
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About HLBS-PopOmics
HLBS-PopOmics is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other materials that address the translation of genomic and other precision health discoveries into improved health care and prevention related to Heart and Vascular Diseases(H), Lung Diseases(L), Blood Diseases(B), and Sleep Disorders(S)...more
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Site Citation:
Mensah GA, Yu W, Barfield WL, Clyne M, Engelgau MM, Khoury MJ. HLBS-PopOmics: an online knowledge base to accelerate dissemination and implementation of research advances in population genomics to reduce the burden of heart, lung, blood, and sleep disorders. Genet Med. 2018 Sep 10. doi: 10.1038/s41436-018-0118-1
Disclaimer: Articles listed in the Public Health Knowledge Base are selected by Public Health Genomics Branch to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
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- Page last updated:Mar 18, 2024
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